Llama 3.3 70B vs Llama 4 Maverick 17B Instruct FP8
Llama 3.3 70B (2025) and Llama 4 Maverick 17B Instruct FP8 (2025) are compact production models from AI at Meta. Llama 3.3 70B ships a 8k-token context window, while Llama 4 Maverick 17B Instruct FP8 ships a 1m-token context window. On MMLU PRO, Llama 4 Maverick 17B Instruct FP8 leads by 9.2 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 is ~500% cheaper at $0.15/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps, long-context analysis, and provider-routed production |
| Decision fit | Agents, Vision, and Classification | Coding, RAG, and Agents |
| Context window | 8k | 1m |
| Cheapest output | $0.90/1M tokens | $0.60/1M tokens |
| Provider routes | 1 tracked | 10 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- Llama 3.3 70B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Llama 4 Maverick 17B Instruct FP8 holds a shared-benchmark lead on MMLU PRO, ahead by 9.2 points.
- Llama 4 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Maverick 17B Instruct FP8 uniquely exposes Structured outputs in local model data.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Llama 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $675. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $0.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Llama 4 Maverick 17B Instruct FP8 adds Structured outputs in local capability data.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Llama 3.3 70B is $0.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- Llama 3.3 70B adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2025-04-05 |
| Context window | 8k | 1m |
| Parameters | 70B | 400B (17B active) |
| Architecture | decoder only | mixture of experts |
| License | Llama 3 Community | Llama 4 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2024-12 | 2024-08 |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Input price | $0.90/1M tokens | $0.15/1M tokens |
| Output price | $0.90/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 3.3 70B | Llama 4 Maverick 17B Instruct FP8 |
|---|---|---|
| MMLU PRO | 71.3 | 80.5 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3.3 70B at 71.3 and Llama 4 Maverick 17B Instruct FP8 at 80.5, with Llama 4 Maverick 17B Instruct FP8 ahead by 9.2 points. The largest visible gap is 9.2 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on function calling: Llama 3.3 70B, tool use: Llama 3.3 70B, and structured outputs: Llama 4 Maverick 17B Instruct FP8. Both models share vision and multimodal input, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Llama 3.3 70B lists $0.90/1M input and $0.90/1M output tokens on the cheapest tracked provider, while Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Maverick 17B Instruct FP8 lower by about $0.61 per million blended tokens. Availability is 1 providers versus 10, so concentration risk also matters.
Choose Llama 3.3 70B when vision-heavy evaluation are central to the workload. Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Llama 3.3 70B or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 supports 1m tokens, while Llama 3.3 70B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 3.3 70B or Llama 4 Maverick 17B Instruct FP8?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Llama 3.3 70B costs $0.90/1M input and $0.90/1M output tokens. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.3 70B or Llama 4 Maverick 17B Instruct FP8 open source?
Llama 3.3 70B is listed under Llama 3 Community. Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Llama 3.3 70B or Llama 4 Maverick 17B Instruct FP8?
Both Llama 3.3 70B and Llama 4 Maverick 17B Instruct FP8 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Llama 3.3 70B or Llama 4 Maverick 17B Instruct FP8?
Both Llama 3.3 70B and Llama 4 Maverick 17B Instruct FP8 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 3.3 70B and Llama 4 Maverick 17B Instruct FP8?
Llama 3.3 70B is available on Fireworks AI. Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-07. Data sourced from public model cards and provider documentation.